Transforming Language Assessments through AI: Enhancing Accuracy, Efficiency, and Personalization at Abu Dhabi Polytechnic

Abstract

This research examines the transformative potential of Artificial Intelligence (AI) in language assessments in Abu Dhabi Polytechnic (ADPoly). Using a mixed-methods research design that involved 100 students and 3 lecturers, this research ascertains the effectiveness of AI tools in grading precision, productivity, and personalized feedback. Findings show that AI-based assessments increased grading consistency by 92% with human scores, cut error margins by 15%, and improved personalization of feedback, with a 12% improvement in student performance. Lecturers perceived decreased workload and increased teaching effectiveness, whereas students perceived AI feedback as insightful and supportive of learning. Best practices for embedding AI in academic assessment are documented, along with suggestions for extension of applications across academic domains. Considerations of ethics and practical implementation are discussed, cementing ADPoly's leadership in applying AI for education innovation.